Stader Price History

(SD)

Time period: 2024-10-17 ~ 2025-10-18

2024-10-17

2025-10-18

USD

Date	Open price*	Upper Price	Lower Price	Close price**	Vol
2025-10-17	$0.394844	$0.403916	$0.359006	$0.379431	$5.643M
2025-10-16	$0.411440	$0.416644	$0.390617	$0.391951	$4.124M
2025-10-15	$0.422391	$0.437171	$0.405687	$0.412553	$4.479M
2025-10-14	$0.437429	$0.449014	$0.396177	$0.422124	$4.630M
2025-10-13	$0.430384	$0.440835	$0.422019	$0.437429	$5.469M
2025-10-12	$0.419938	$0.435207	$0.393025	$0.430384	$3.483M
2025-10-11	$0.481252	$0.480043	$0.279181	$0.419938	$11.713M
2025-10-10	$0.496627	$0.506646	$0.480002	$0.480779	$5.225M
2025-10-09	$0.524842	$0.521204	$0.492506	$0.496273	$3.971M
2025-10-08	$0.521083	$0.533592	$0.516806	$0.525139	$3.815M
2025-10-07	$0.544888	$0.54739	$0.518166	$0.520269	$3.878M
2025-10-06	$0.540731	$0.546164	$0.528855	$0.544888	$3.067M
2025-10-05	$0.526797	$0.544857	$0.526328	$0.541362	$3.096M
2025-10-04	$0.553044	$0.559167	$0.525603	$0.526664	$2.967M
2025-10-03	$0.549302	$0.560465	$0.542907	$0.554667	$3.739M
2025-10-02	$0.546013	$0.557148	$0.542978	$0.549919	$3.367M
2025-10-01	$0.502154	$0.549914	$0.500328	$0.546809	$3.691M
2025-09-30	$0.540605	$0.541237	$0.50036	$0.502065	$3.723M
2025-09-29	$0.532337	$0.552185	$0.528771	$0.540577	$4.527M
2025-09-28	$0.541003	$0.546484	$0.526568	$0.535457	$1.647M

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About SD historical price data

The SD price history tracker allows cryptocurrency investors to conveniently monitor the performance of their investments. You can easily view the opening, highest, and closing prices of SD over time, as well as the trading volume. In addition, you can instantly check the daily percentage change to easily identify days with higher volatility.

According to our SD price history data, its value surged to an all-time high of over $30.17 in 2022-03-15. On the other hand, the lowest point in the SD price trajectory (often referred to as the “SD all-time low”) occurred in 2022-10-25. Anyone who purchased SD during that period would currently enjoy an impressive profit of $29.93318.

By design, the total supply of SD will reach 120M. As of now, the circulating supply of SD is approximately 64M.

All prices shown on this page come from trusted data provider LBank. When reviewing your investments, it is recommended not to rely on a single data source, as values may differ between providers.

Our historical Bitcoin price dataset includes 1-minute, 1-day, 1-week, and 1-month data (open/high/low/close/volume). These datasets have been rigorously tested to ensure consistency, integrity, and accuracy. The design is specifically for trading simulations and backtesting, available for free download and updated in real time.

SD historical data examples

Here are some uses of SD historical data in SD trading

Technical analysis:

Traders use historical data to analyze trends and movements in the SD market. They use charts and other visual tools to identify trends and determine when to enter or exit the market. One way to gain an advantage in this dynamic market is to visualize and analyze historical market data. To achieve this, historical data can be stored in GridDB and analyzed using Python scripts with various libraries, such as Matplotlib, Pandas, Numpy, and Scipy for data visualization.

Predicting SD price based on historical data:

Historical data can also be used to predict future market trends. By analyzing past market behavior, traders can identify recurring patterns and make informed predictions about the direction of the SD market. By using LBank’s SD historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SD. These data can then be used to define and train price prediction models, helping users make informed trading decisions.

Risk management:

By obtaining historical data, traders can assess the risks of investing in SD. They can also determine the volatility of SD, allowing them to make sound investment decisions.

Portfolio management:

Historical data is also useful in portfolio management. By tracking investments over the long term, traders can identify underperforming assets and adjust portfolios to maximize returns.

Training SD trading bots:

In addition, users can choose to download SD historical cryptocurrency OHLC (open, high, low, close) data to train their own SD trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SD’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze SD candlestick chart data

SD candlestick charts display time on the horizontal axis and price data on the vertical axis, similar to line and bar charts. A candlestick may have two different colors: green or red. A green candle indicates a price increase during the considered period, while a red candle indicates a price decrease.

The simple structure of candlestick charts can provide users with a wealth of information. For example, technical analysis may use candlestick chart data to identify potential trend reversals.

According to SD historical data, when the SD market shows bearish or bullish trends, conservative investors may choose to use capital-protected products such as Flexible and Locked to capture the trend at that time.

When SD is in a sideways trend, using Open Futures and selecting a bullish product to take advantage of a slight upward trend, or choosing a bearish product to profit from a mild downward trend, may lead to better performance.